Datasets:
Update SourceData.py
Browse files- SourceData.py +14 -15
SourceData.py
CHANGED
@@ -70,22 +70,21 @@ class SourceData(datasets.GeneratorBasedBuilder):
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DEFAULT_CONFIG_NAME = "NER"
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self._URLS = {
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"NER": f"{_BASE_URL}token_classification/v_{self.config.version}/ner/",
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"PANELIZATION": f"{_BASE_URL}token_classification/v_{self.config.version}/panelization/",
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"ROLES_GP": f"{_BASE_URL}token_classification/v_{self.config.version}/roles_gene/",
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"ROLES_SM": f"{_BASE_URL}token_classification/v_{self.config.version}/roles_small_mol/",
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"ROLES_MULTI": f"{_BASE_URL}token_classification/v_{self.config.version}/roles_multi/",
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}
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self.BUILDER_CONFIGS = [
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datasets.BuilderConfig(name="NER", version=self.config.version, description="Dataset for named-entity recognition."),
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datasets.BuilderConfig(name="PANELIZATION", version=self.config.version, description="Dataset to separate figure captions into panels."),
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datasets.BuilderConfig(name="ROLES_GP", version=self.config.version, description="Dataset for semantic roles of gene products."),
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datasets.BuilderConfig(name="ROLES_SM", version=self.config.version, description="Dataset for semantic roles of small molecules."),
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datasets.BuilderConfig(name="ROLES_MULTI", version=self.config.version, description="Dataset to train roles. ROLES_GP and ROLES_SM at once."),
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]
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def _info(self):
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if self.config.name == "NER":
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features = datasets.Features(
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DEFAULT_CONFIG_NAME = "NER"
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def _info(self):
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self._URLS = {
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"NER": f"{_BASE_URL}token_classification/v_{self.config.version}/ner/",
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"PANELIZATION": f"{_BASE_URL}token_classification/v_{self.config.version}/panelization/",
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"ROLES_GP": f"{_BASE_URL}token_classification/v_{self.config.version}/roles_gene/",
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"ROLES_SM": f"{_BASE_URL}token_classification/v_{self.config.version}/roles_small_mol/",
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"ROLES_MULTI": f"{_BASE_URL}token_classification/v_{self.config.version}/roles_multi/",
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}
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self.BUILDER_CONFIGS = [
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datasets.BuilderConfig(name="NER", version=self.config.version, description="Dataset for named-entity recognition."),
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datasets.BuilderConfig(name="PANELIZATION", version=self.config.version, description="Dataset to separate figure captions into panels."),
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datasets.BuilderConfig(name="ROLES_GP", version=self.config.version, description="Dataset for semantic roles of gene products."),
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datasets.BuilderConfig(name="ROLES_SM", version=self.config.version, description="Dataset for semantic roles of small molecules."),
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datasets.BuilderConfig(name="ROLES_MULTI", version=self.config.version, description="Dataset to train roles. ROLES_GP and ROLES_SM at once."),
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]
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if self.config.name == "NER":
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features = datasets.Features(
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